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Found 7 papers, 1 papers with code
Privacy-Preserving Multi-Document Summarization
State-of-the-art extractive multi-document summarization systems are usually designed without any concern about privacy issues, meaning that all documents are open to third parties.
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach
The increasing amount of online content motivated the development of multi-document summarization methods.
Ensemble Detection of Single & Multiple Events at Sentence-Level
Event classification at sentence level is an important Information Extraction task with applications in several NLP, IR, and personalization systems.
Co-Multistage of Multiple Classifiers for Imbalanced Multiclass Learning
In this work, we propose two stochastic architectural models (CMC and CMC-M) with two layers of classifiers applicable to datasets with one and multiple skewed classes.
Recognition of Named-Event Passages in News Articles
We extend the concept of Named Entities to Named Events - commonly occurring events such as battles and earthquakes.
Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization
We also experimented with 2 forms of document pre-processing that we call light filtering and co-reference normalization.
Key Phrase Extraction of Lightly Filtered Broadcast News
Key phrases are often used to index the document or as features in further processing.
